Research outputs
Selected research outputs
- The biological carbon pump in CMIP6 models: 21st century trends and uncertainties (Journal article - 2022)
- Sensitivity of atmospheric CO<sub>2</sub> to regional variability in particulate organic matter remineralization depths (Journal article - 2019)
- Linking Marine Plankton Ecosystems and Climate: A New Modeling Approach to the Warm Early Eocene Climate (Journal article - 2018)
- Modeling radiocarbon constraints on the dilution of dissolved organic carbon in the deep ocean (Journal article - 2017)
- Assessment of the spatial variability in particulate organic matter and mineral sinking fluxes in the ocean interior: Implications for the ballast hypothesis (Journal article - 2012)
- Temperature-dependent remineralization and carbon cycling in the warm Eocene oceans (Journal article - 2014)
- EcoGEnIE 1.0: plankton ecology in the cGEnIE Earth system model (Journal article - 2018)
- Considering the Role of Adaptive Evolution in Models of the Ocean and Climate System (Journal article - 2019)
- Cyanobacteria and biogeochemical cycles through Earth history (Journal article - 2022)
2026
Carbon sequestration service in the Atlantic Ocean: an assessment from coastal to ocean ecosystems
Zunino, S., Canu, D. M., Wilson, J. D., Rico-Velez, D. L., Longo, K., Katavouta, A., . . . Libralato, S. (2026). Carbon sequestration service in the Atlantic Ocean: an assessment from coastal to ocean ecosystems. EARTH-SCIENCE REVIEWS, 279, 15 pages. doi:10.1016/j.earscirev.2026.105536
CMIP7 data request: Earth system priorities and opportunities
McPartland, M. Y., Lovato, T., Koven, C., Wilson, J. D., Turner, B., Petrik, C. M., . . . Andrews, O. (2026). CMIP7 data request: Earth system priorities and opportunities. GEOSCIENTIFIC MODEL DEVELOPMENT, 19(7), 2849-2880. doi:10.5194/gmd-19-2849-2026
Long-term impacts of mixotrophy on ocean carbon storage: insights from a 10 000 year global model simulation
Puglia, M., Bibby, T. S., Wilson, J. D., & Ward, B. A. (2026). Long-term impacts of mixotrophy on ocean carbon storage: insights from a 10 000 year global model simulation. Biogeosciences, 23(1), 463-476. doi:10.5194/bg-23-463-2026
2025
NutGEnIE 1.0: nutrient cycle extensions to the cGEnIE Earth system model to examine the long-term influence of nutrients on oceanic primary production
Stappard, D. A., Wilson, J. D., Yool, A., & Tyrrell, T. (2025). NutGEnIE 1.0: nutrient cycle extensions to the cGEnIE Earth system model to examine the long-term influence of nutrients on oceanic primary production. GEOSCIENTIFIC MODEL DEVELOPMENT, 18(19), 6805-6834. doi:10.5194/gmd-18-6805-2025
A Machine Learning-Based Dissolved Organic Carbon Climatology
Panaiotis, T., Wilson, J., & Cael, B. B. (2025). A Machine Learning-Based Dissolved Organic Carbon Climatology. GEOPHYSICAL RESEARCH LETTERS, 52(7), 10 pages. doi:10.1029/2024GL112792
2024
Past foraminiferal acclimatization capacity is limited during future warming
Ying, R., Monteiro, F. M., Wilson, J. D., Ödalen, M., & Schmidt, D. N. (2024). Past foraminiferal acclimatization capacity is limited during future warming. Nature. doi:10.1038/s41586-024-08029-0
When to add a new process to a model – and when not: A marine biogeochemical perspective
Martin, A. P., Dominguez, A. B., Baker, C. A., Baumas, C. M. J., Bisson, K. M., Cavan, E., . . . Yool, A. (2024). When to add a new process to a model – and when not: A marine biogeochemical perspective. Ecological Modelling, 498, 110870. doi:10.1016/j.ecolmodel.2024.110870
A diatom extension to the cGEnIE Earth system model – EcoGEnIE 1.1
Naidoo-Bagwell, A. A., Monteiro, F. M., Hendry, K. R., Burgan, S., Wilson, J. D., Ward, B. A., . . . Conley, D. J. (2024). A diatom extension to the cGEnIE Earth system model – EcoGEnIE 1.1. Geoscientific Model Development, 17(4), 1729-1748. doi:10.5194/gmd-17-1729-2024
Seasonality in Carbon Flux Attenuation Explains Spatial Variability in Transfer Efficiency
de Melo Viríssimo, F., Martin, A. P., Henson, S. A., & Wilson, J. D. (2024). Seasonality in Carbon Flux Attenuation Explains Spatial Variability in Transfer Efficiency. Geophysical Research Letters, 51(4). doi:10.1029/2023gl107050
2023
Neurodiversity: An Important Axis of Diversity in Ocean Sciences
Wilson, J., Sibert, E., Grigoratou, M., Jones, C., Rubin, L., & Smillie, Z. (2023). Neurodiversity: An Important Axis of Diversity in Ocean Sciences. Oceanography, 36(4). doi:10.5670/oceanog.2024.103
Planktic foraminiferal resilience to environmental change associated with the PETM
Barrett, R., Adebowale, M., Birch, H., Wilson, J. D., & Schmidt, D. N. (2023). Planktic foraminiferal resilience to environmental change associated with the PETM. Paleoceanography and Paleoclimatology. doi:10.1029/2022pa004534
What the geological past can tell us about the future of the ocean's twilight zone
Crichton, K. A., Wilson, J. D., Ridgwell, A., Boscolo-Galazzo, F., John, E. H., Wade, B. S., & Pearson, P. N. (2023). What the geological past can tell us about the future of the ocean's twilight zone. NATURE COMMUNICATIONS, 14(1), 11 pages. doi:10.1038/s41467-023-37781-6
ForamEcoGEnIE 2.0: incorporating symbiosis and spine traits into atrait-based global planktic foraminiferal model
Ying, R., Monteiro, F. M., Wilson, J. D., & Schmidt, D. N. (2023). ForamEcoGEnIE 2.0: incorporating symbiosis and spine traits into atrait-based global planktic foraminiferal model. GEOSCIENTIFIC MODEL DEVELOPMENT, 16(3), 813-832. doi:10.5194/gmd-16-813-2023
2022
The biological carbon pump in CMIP6 models: 21st century trends and uncertainties
Wilson, J. D., Andrews, O., Katavouta, A., Virissimo, F. D. M., Death, R. M., Adloff, M., . . . Ying, R. (2022). The biological carbon pump in CMIP6 models: 21st century trends and uncertainties. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 119(29), 3 pages. doi:10.1073/pnas.2204369119
The Bristol CMIP6 Data Hackathon
Mitchell, D. M., Stone, E. J., Andrews, O. D., Bamber, J. L., Bingham, R. J., Browse, J., . . . Tunnicliffe, R. (2022). The Bristol CMIP6 Data Hackathon. Weather, 77(6), 218-221. doi:10.1002/wea.4161
Cyanobacteria and biogeochemical cycles through Earth history
Sanchez-Baracaldo, P., Bianchini, G., Wilson, J. D., & Knoll, A. H. (2022). Cyanobacteria and biogeochemical cycles through Earth history. TRENDS IN MICROBIOLOGY, 30(2), 143-157. doi:10.1016/j.tim.2021.05.008
Exploring the impact of climate change on the global distribution of non-spinose planktonic foraminifera using a trait-based ecosystem model
Grigoratou, M., Monteiro, F. M., Wilson, J. D., Ridgwell, A., & Schmidt, D. N. (2022). Exploring the impact of climate change on the global distribution of non-spinose planktonic foraminifera using a trait-based ecosystem model. GLOBAL CHANGE BIOLOGY, 28(3), 1063-1076. doi:10.1111/gcb.15964
2021
Calibration of temperature-dependent ocean microbial processes in the cGENIE.muffin (v0.9.13) Earth system model Katherine
Crichton, K. A., Wilson, J. D., Ridgwell, A., & Pearson, P. N. (2021). Calibration of temperature-dependent ocean microbial processes in the cGENIE.muffin (v0.9.13) Earth system model Katherine. GEOSCIENTIFIC MODEL DEVELOPMENT, 14(1), 125-149. doi:10.5194/gmd-14-125-2021
2020
Algal plankton turn to hunting to survive and recover from end-Cretaceous impact darkness
Gibbs, S. J., Bown, P. R., Ward, B. A., Alvarez, S. A., Kim, H., Archontikis, O. A., . . . Ridgwell, A. (2020). Algal plankton turn to hunting to survive and recover from end-Cretaceous impact darkness. SCIENCE ADVANCES, 6(44), 11 pages. doi:10.1126/sciadv.abc9123
2019
Considering the Role of Adaptive Evolution in Models of the Ocean and Climate System
Ward, B. A., Collins, S., Dutkiewicz, S., Gibbs, S., Bown, P., Ridgwell, A., . . . Oschlies, A. (2019). Considering the Role of Adaptive Evolution in Models of the Ocean and Climate System. JOURNAL OF ADVANCES IN MODELING EARTH SYSTEMS, 11(11), 3343-3361. doi:10.1029/2018MS001452
Sensitivity of atmospheric CO<sub>2</sub> to regional variability in particulate organic matter remineralization depths
Wilson, J. D., Barker, S., Edwards, N. R., Holden, P. B., & Ridgwell, A. (2019). Sensitivity of atmospheric CO<sub>2</sub> to regional variability in particulate organic matter remineralization depths. BIOGEOSCIENCES, 16(14), 2923-2936. doi:10.5194/bg-16-2923-2019
A trait-based modelling approach to planktonic foraminifera ecology
Grigoratou, M., Monteiro, F. M., Schmidt, D. N., Wilson, J. D., Ward, B. A., & Ridgwell, A. (2019). A trait-based modelling approach to planktonic foraminifera ecology. BIOGEOSCIENCES, 16(7), 1469-1492. doi:10.5194/bg-16-1469-2019
2018
Sensitivity of atmospheric CO2 to regional variability in particulate organic matter remineralization depths
Linking Marine Plankton Ecosystems and Climate: A New Modeling Approach to the Warm Early Eocene Climate
Wilson, J. D., Monteiro, F. M., Schmidt, D. N., Ward, B. A., & Ridgwell, A. (2018). Linking Marine Plankton Ecosystems and Climate: A New Modeling Approach to the Warm Early Eocene Climate. PALEOCEANOGRAPHY AND PALEOCLIMATOLOGY, 33(12), 1439-1452. doi:10.1029/2018PA003374
EcoGEnIE 1.0: plankton ecology in the cGEnIE Earth system model
Ward, B. A., Wilson, J. D., Death, R. M., Monteiro, F. M., Yool, A., & Ridgwell, A. (2018). EcoGEnIE 1.0: plankton ecology in the cGEnIE Earth system model. GEOSCIENTIFIC MODEL DEVELOPMENT, 11(10), 4241-4267. doi:10.5194/gmd-11-4241-2018
2017
EcoGEnIE 0.1: Plankton Ecology in the cGENIE Earth system model
Understanding the causes and consequences of past marine carbon cycling variability through models
Huelse, D., Arndt, S., Wilson, J. D., Munhoven, G., & Ridgwell, A. (2017). Understanding the causes and consequences of past marine carbon cycling variability through models. EARTH-SCIENCE REVIEWS, 171, 349-382. doi:10.1016/j.earscirev.2017.06.004
Modeling radiocarbon constraints on the dilution of dissolved organic carbon in the deep ocean
Wilson, J. D., & Arndt, S. (2017). Modeling radiocarbon constraints on the dilution of dissolved organic carbon in the deep ocean. GLOBAL BIOGEOCHEMICAL CYCLES, 31(5), 775-786. doi:10.1002/2016GB005520
2015
Can organic matter flux profiles be diagnosed using remineralisation rates derived from observed tracers and modelled ocean transport rates?
Wilson, J. D., Ridgwell, A., & Barker, S. (2015). Can organic matter flux profiles be diagnosed using remineralisation rates derived from observed tracers and modelled ocean transport rates?. BIOGEOSCIENCES, 12(18), 5547-5562. doi:10.5194/bg-12-5547-2015
2014
Temperature-dependent remineralization and carbon cycling in the warm Eocene oceans
John, E. H., Wilson, J. D., Pearson, P. N., & Ridgwell, A. (2014). Temperature-dependent remineralization and carbon cycling in the warm Eocene oceans. PALAEOGEOGRAPHY PALAEOCLIMATOLOGY PALAEOECOLOGY, 413, 158-166. doi:10.1016/j.palaeo.2014.05.019
2012
Assessment of the spatial variability in particulate organic matter and mineral sinking fluxes in the ocean interior: Implications for the ballast hypothesis
Wilson, J. D., Barker, S., & Ridgwell, A. (2012). Assessment of the spatial variability in particulate organic matter and mineral sinking fluxes in the ocean interior: Implications for the ballast hypothesis. GLOBAL BIOGEOCHEMICAL CYCLES, 26, 15 pages. doi:10.1029/2012GB004398